Statsig Developer Tier
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Scaling experimentation with Statsig
What do you like best about the product?
Statsig offers a variety of features helping to experiment at scale, such as a metric library, alerts and sanity checks for your experiments. It is in active development and new features are constantly added.
What do you dislike about the product?
Given it is a younger company and product, some features are not yet available yet but will likely be in the near future.
What problems is the product solving and how is that benefiting you?
Standardising the experimentation process, accelerating the rollout of new features.
A game-changer for decision makers
What do you like best about the product?
Our team absolutely loves Statsig. Prior to Statsig we had to custom implement feature flags, interpret product analytics, and argue about whether a change was working or not. With Statsig we can be completely data driven by quickly spinning up an experiment and receiving clear and objective results. We also now have fine grained control over what users see in our app, whether it's through and experiment or a feature flag. Another great thing about the feature flags is they are free!
I can't imagine going back to a world without Statsig!
I can't imagine going back to a world without Statsig!
What do you dislike about the product?
While I'm sure this is a hard thing to solve, if there is any detected bias in an experiment it's hard to determine exactly why bias was detected and what to do about it. That being said, it's great that Statsig is able to detect experiment issues.
What problems is the product solving and how is that benefiting you?
Statsig enables us to make objective decisions when pushing changes to our application. Our onboarding progress is critical for educating our users and getting them involved with the product. With Statsig we can see how small and large changes affect key performance metrics. There have been many instances a small change has made a big impact.
Super easy to use, their UX is great
What do you like best about the product?
Feature gate helped us improve our dev cycle.
What do you dislike about the product?
Not much to say here, maybe the timezone issue since we’re in South Korea. But not that big issue.
What problems is the product solving and how is that benefiting you?
deployment went easy especially features collaborated with other corporates, it was super complex and time consuming but after we adopted Statsig, it was easy as hell
Exposures in warehouse are gamechanging
What do you like best about the product?
Being able to connect statis to our existing data warehouse is massive. The UI is also amazing to use
What do you dislike about the product?
We need a solution to provide a long list of ID's to bucket into two groups
What problems is the product solving and how is that benefiting you?
We run our experiments through statsig
Best product for start ups
What do you like best about the product?
Statsig has been the standout solution when we were shopping around.
It has great programs for early stage start ups, and has reasonable and transparent pricing, and by far has the best and most intuitive product.
From their account executive team to their support team & numerous features they are shipping quarterly, there hasn't been a single point where we regretted going with Statsig.
It has great programs for early stage start ups, and has reasonable and transparent pricing, and by far has the best and most intuitive product.
From their account executive team to their support team & numerous features they are shipping quarterly, there hasn't been a single point where we regretted going with Statsig.
What do you dislike about the product?
I know that we are currently under-leveraging statsig's in-house built analytics tools and such. I wish there were more guides and tutorials on how to best set it up, with simple integrations like Segment or other CDP tools.
What problems is the product solving and how is that benefiting you?
Generally deploying A/B tests fast, monitoring results.
We also use it a lot for feature management, like feature flagging in-progress features,etc.
We also use it a lot for feature management, like feature flagging in-progress features,etc.
Easy to use software
What do you like best about the product?
It's easy to find my way in Statsig. For both technical and non-technical team members, it's easy to onboard them to the app.
What do you dislike about the product?
Overrides can be confusing sometimes, but being able to test the configuration in testing environments makes things clearer overtime.
What problems is the product solving and how is that benefiting you?
Feature gating and A/B testing
Works Great
What do you like best about the product?
Very simple and intuitive to use. Provides a lot of out of box functionalityl
What do you dislike about the product?
Layering experiments can sometimes get complicated.
What problems is the product solving and how is that benefiting you?
Identifying which features are beneficial to our business
Very streamlined for running A/B Tests
What do you like best about the product?
Since switching to Statsig, setting up experiments has been straightforward.
What do you dislike about the product?
It's both a good thing and bad thing, but the process of approvals and setting up the experiment can take time.
What problems is the product solving and how is that benefiting you?
Setting up experiments and assigning users to groups, and launching experiments based on results and decisions made.
My experience with StatSig
What do you like best about the product?
I love how straightforward and intuitive Statsig makes the entire experimentation process. Setting up tests, defining metrics, and interpreting results is incredibly seamless compared to other analytics platforms I’ve tried. The real-time insights and automatic feature gating let me move faster and iterate with confidence. Plus, the UI is clean, and the documentation and support are top-notch—so it never feels overwhelming to dive deeper into any area. Overall, Statsig delivers a powerful, yet accessible, solution for data-driven decision-making. I use statsig almost everyday, implementation was hard at first, but got easier. Their staff can he helpful with intergration.
What do you dislike about the product?
The only area I’d love to see further improvement on is a more granular level of customization in the reports and dashboards. Sometimes I find myself wanting to slice data in very specific ways that aren’t supported out of the box. It’s not a deal-breaker by any means, since the out-of-the-box functionality is already strong, but having additional customization options would make the platform even more powerful for deeper analysis.
What problems is the product solving and how is that benefiting you?
Statsig is helping us streamline our experimentation and feature rollout process, which used to be a big hassle. Instead of juggling multiple tools or spending hours running manual analyses, we can set up a test in just a few clicks, roll it out to a subset of users, and get immediate feedback on the impact. This eliminates guesswork and accelerates our decision-making. Being able to confidently identify which features drive the greatest results means we can prioritize effectively and quickly pivot if something isn’t working. It’s a huge win in terms of efficiency, risk reduction, and overall product growth.
Statsig helped me with some real-time insights in easy and quick steps
What do you like best about the product?
As a product manager, I used statsig to track the performance of my website. It was really easy create various charts and funnel data with minimum steps. Without much technical knowledge I was able to track various events and get some insight into how our producr is performimng.
What do you dislike about the product?
With some guidance, I was able to set up charts quickly, But someone who hasn't worked with lots of data before, it's somewhat tricky.
What problems is the product solving and how is that benefiting you?
Statsig helps track my product’s performance by providing real-time experiment data and insights, making it easier to measure impact and make data-driven decisions.
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